{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e67abf13-09f9-45ec-aa3d-42fa97763da5",
   "metadata": {},
   "source": [
    "# 第四章 协同推理和行动 ReAct"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "592472ce-68ce-4c7f-8036-9b1b3d078175",
   "metadata": {},
   "source": [
    "<div class=\"toc\">\n",
    " <ul class=\"toc-item\">\n",
    "     <li><span><a href=\"#一、引言\" data-toc-modified-id=\"一、引言\">一、引言</a></span></li>\n",
    "     <li>\n",
    "         <span><a href=\"#二、ReAct 框架的核心要点\" data-toc-modified-id=\"二、单一文本概括实验\">二、ReAct 框架的核心要点</a></span>\n",
    "         <ul class=\"toc-item\">\n",
    "             <li><span><a href=\"##2.1 ReAct 的关键原理\" data-toc-modified-id=\"2.1 ReAct 的关键原理\">2.1 ReAct 的关键原理</a></span></li> \n",
    "             <li><span><a href=\"##2.2 ReAct 的提示设计\" data-toc-modified-id=\"2.2 ReAct 的提示设计\">2.2 ReAct 的提示设计</a></span></li>\n",
    "             </ul>\n",
    "         </li>\n",
    "     <li><span><a href=\"#三、ReAct 应用示例\" data-toc-modified-id=\"三、ReAct 应用示例\">三、ReAct 应用示例</a></span></li>\n",
    "     <li><span><a href=\"#四、总结与讨论\" data-toc-modified-id=\"四、总结与讨论\">四、总结与讨论</a></span></li>\n",
    "     </ul>\n",
    "</div>"
   ]
  },
  {
   "attachments": {
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    }
   },
   "cell_type": "markdown",
   "id": "bd7ae329-4590-4b65-ad5b-aa6c63189d91",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 一、引言\n",
    "***\n",
    "\n",
    "大语言模型（Large Language Models, LLMs），如 GPT-3.5 Turbo/GPT-4，已在语言理解和交互式决策任务上表现出强大的能力。然而，在 ReAct 出现之前，LLMs 在推理（如思维链提示）和行动（如行动计划生成）方面的能力是被孤立地研究和应用的。（但现在，LLMs 和基于 LLM 的 Agent 的研究正在迅速发展。）\n",
    "\n",
    "\n",
    "\n",
    "ReAct 当时首次对这个问题给出了答案：当这两种基本能力结合在一起时，会产生什么效果？\n",
    "\n",
    "![image.png](attachment:48fc851c-dbd9-436f-ab5b-40a5f5168ab9.png)\n",
    "\n",
    "上面的示意图的来源：https://react-lm.github.io/\n",
    "\n",
    "本章将详细介绍 ReAct 框架，ReAct 是由 Reason（推理）和 Action（行动）组成的缩写，**ReAct = Reason + Action = 推理 + 行动**。我们通过深入阐述关键原理和提供实际代码示例，旨在帮助读者全面掌握 ReAct 的关键原理和实际应用。阅读本章后，读者将能够更专业、准确地理解并应用 ReAct 框架。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe163085-5e4c-45ec-8f7c-bbad5d0cb1bb",
   "metadata": {},
   "source": [
    "## 二、ReAct 框架的核心要点\n",
    "***\n",
    "\n",
    "### 2.1 ReAct 的关键原理\n",
    "\n",
    "你知道我们人类在做事情的时候，会先想一想（推理），然后再去做（行动），对吧？比如说，你想要搭积木，你可能会先想一想，我要搭一个什么样的积木，需要什么颜色的积木块，然后你才会去找这些积木块，开始搭建。这就是我们人类的智能，我们可以把想和做紧密地结合在一起。\n",
    "\n",
    "现在，有一种叫做 ReAct 的方法，它就是想在计算机里模拟我们人类这种把想和做结合在一起的智能。它会让计算机先想一想（生成推理文本），然后再去做（检索信息或者调用工具）。这样，计算机就可以更好地回答问题，也可以更好地适应复杂的环境。\n",
    "\n",
    "就像你在玩一个新的游戏，你可能会先想一想规则，然后再去玩。如果游戏中出现了一些新的情况，你也可以根据你之前的想法，来调整你的行动。这就是 ReAct 方法的核心思想，它让计算机也能像我们人类一样，先想后做，从而更好地完成任务。\n",
    "\n",
    "### 2.2 ReAct 的提示设计\n",
    "\n",
    "ReAct 提示设计的一个关键点是：few-shot task-solving 轨迹，**其本质在于充分利用上下文学习和提供好的演示（Demonstrations）**。这些轨迹由人工编写的文本推理和操作序列以及相应操作环境的观察结果构成。下面是一个 ReAct 提示的示例（摘自论文）：\n",
    "\n",
    "```python\n",
    "问题 科罗拉多造山带东部区域延伸到的区域的海拔范围是多少？\n",
    "\n",
    "思考 1 我需要搜索科罗拉多造山带，找到科罗拉多造山带东段延伸的区域，然后找到该区域的海拔范围。\n",
    "操作 1 搜索 [科罗拉多造山带]\n",
    "观察 1 科罗拉多造山带是科罗拉多及其周边地区造山运动的一段。\n",
    "思考 2 它没有提到东部地区。所以我需要查一下东部地区。\n",
    "操作 2 查找 [东部地区]\n",
    "观察 2 (结果 1 / 1) 东部区域延伸至高平原，称为中原造山带。\n",
    "思考 3 科罗拉多造山运动的东部区域延伸到高平原。所以我需要搜索高平原，找到它的海拔范围。\n",
    "操作 3 搜索 [高平原]\n",
    "观察 3 高平原指的是两个截然不同的陆地区域之一。\n",
    "思考 4 我需要搜索高平原（美国）\n",
    "操作 4 搜索 [高平原（美国）]\n",
    "观察 4 高平原是大平原的一个分区。从东到西，高平原的海拔从 1800 到 7000 英尺 (550 到 2130 米) 不等。[3]\n",
    "思考 5 高平原海拔高度从 1800 到 7000 英尺，所以答案是 1800 到 7000 英尺。\n",
    "操作 5 结束 [1800 到 7000 英尺]\n",
    "...\n",
    "```\n",
    "\n",
    "在 LangChain 中，您可以找到封装好的 ReAct 模块的源码，其中包含更详细的 Prompt 模板和 Demonstrations：https://github.com/langchain-ai/langchain/tree/c4e9c9ca2959e2cf756fc499b7c6f35d8786e143/libs/langchain/langchain/agents/react\n",
    "\n",
    "ReAct 的提示设计直观、灵活，并在各种任务中实现了最先进的少样本性能。研究论文表明，ReAct 的有效性在四个基准测试中进行了评估，包括问题解答和事实验证任务（如 HotpotQA 和 Fever），以及交互式决策任务（如 ALFWorld 和 WebShop）。在这些不同的领域中，ReAct 在多个方面都优于纯推理和纯行为基线方法，显示了集成推理-行动系统的潜力。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c7ea4c0-dcd9-451a-a720-5d5f117121b6",
   "metadata": {},
   "source": [
    "## 三、ReAct 应用示例\n",
    "***\n",
    "\n",
    "注意：我使用的测试环境是 Anaconda + Python 3.8.10。Python 的版本要求 Python 3.7+。\n",
    "\n",
    "开始实验之前，我们需要安装好本次实验所需的第三方依赖库：\n",
    "- `openai`：OpenAI Python 库提供了一个便捷的途径，让任何 Python 3.7+ 应用程序可以访问 OpenAI REST API。您可以通过运行以下命令来安装：`pip install openai==1.10.0`。\n",
    "\n",
    "- `langchain`：LangChain 是一个基于语言模型开发应用程序的框架。您可以通过运行以下命令来安装：`pip install langchain==0.1.5`。\n",
    "\n",
    "- `numexpr`：NumExpr 是一个高效的数值表达式计算器，用于在利用 LLM 进行数学计算时提高性能。您可以通过运行以下命令来安装：`pip install numexpr==2.8.6`。\n",
    "\n",
    "\n",
    "此外，我们还需要获取一个名为 `SERPAPI_API_KEY` 的 API 密钥，并用 pip 安装 `google-search-results==2.4.2` 包。您可以在官方网站上获得密钥和更多信息：https://serpapi.com/dashboard\n",
    "\n",
    "**SerpApi** 是一个强大且可靠的工具，用于获取搜索引擎结果。SerpApi API 可用于访问 Google 搜索结果，为开发者处理代理、解决验证码，并解析所有丰富的结构化数据。功能：快速、简单、完整的 API，可从 Google 和其他搜索引擎中获取数据；支持的搜索引擎包括 Google、Bing、Yandex 等。可以集成到主流编程语言（如 Python、Java、Go、Rust、Node.js 等）或直接在 Google Sheets 中使用。\n",
    "\n",
    "**SerpApi 特点**：\n",
    "\n",
    "（1）实时和真实的结果：每个 API 请求立即运行，无需等待结果。此外，每个 API 请求在完整的浏览器中运行，我们甚至会解决所有验证码，完全模仿人类的操作，确保您获得用户真正看到的内容。\n",
    "\n",
    "（2）丰富的结构化数据：提供常规的有机搜索结果，以及地图、本地信息、故事、购物、直接答案和知识图谱。每个结果都有许多结构化数据，包括链接、地址、推文、价格、缩略图、评级、评论、丰富片段等。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d2b18e9-d707-4bf1-bc21-180261ef5935",
   "metadata": {},
   "source": [
    "导入此次实验所需的依赖库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9f68c4ee-3772-4656-9d53-cb8ed0de4594",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import warnings\n",
    "\n",
    "from openai import OpenAI\n",
    "from langchain_openai import ChatOpenAI\n",
    "from langchain.agents import AgentType\n",
    "from langchain.agents import load_tools\n",
    "from langchain.agents import initialize_agent\n",
    "\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "os.environ[\"SERPAPI_API_KEY\"] = \"a08df44c......be59\"\n",
    "\n",
    "# 从环境变量中获取 OpenAI API Key 或者直接赋值\n",
    "OPENAI_API_KEY = os.environ['OPENAI_API_KEY']\n",
    "OPENAI_API_KEY = \"sk-...你的 OpenAI API Key\"\n",
    "\n",
    "# 如果您使用的是官方 API，就直接用 https://api.openai.com/v1 就行。\n",
    "BASE_URL = \"https://api.openai.com/v1\"\n",
    "# 如果您使用的不是官方 API，而是通过代理进行请求，请设置您的代理 URL。\n",
    "# BASE_URL = \"https://api.xxx.../v1\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "01c827e6-8e99-4928-b262-d6f49df0a99c",
   "metadata": {},
   "source": [
    "实验 1：连接搜索引擎，对比使用和不用 ReAct 的生成结果\n",
    "\n",
    "给定任务 1：\"你的任务是列出 Datawhale 的开源项目南瓜书的核心作者的姓名。\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3306b4f4-1bcc-44b7-96b1-feb9355e9ebd",
   "metadata": {},
   "source": [
    "**1. 实例化一个 LLM 对象以及设置其关键参数**\n",
    "   - temperature：采样温度在 0 到 2 之间，更高的值如 0.8 会使输出更随机，而更低的值如 0.2 会使其更加集中和确定性。\n",
    "   \n",
    "   - model_name：使用的模型标识，此次实验演示用的是 `gpt-3.5-turbo-0125`。\n",
    "   \n",
    "   - max_tokens：聊天完成时可以生成的**最大 tokens 数**。注意：输入 tokens 和生成 tokens 的总长度受模型上下文长度的限制。\n",
    "  \n",
    "   - openai_api_key：必需的 OpenAI API Key。登录 https://platform.openai.com/ 获取。\n",
    "   \n",
    "   - openai_api_base：非必需，如果您使用的不是官方 API，而是通过代理进行请求，请提供您的代理 URL。\n",
    "   \n",
    "   - max_retries：最大重试次数。\n",
    "   \n",
    "   - \"seed=42, presence_penalty=0, frequency_penalty=0,\": 这是为了促进确定性地输出。\n",
    "     这几个参数的含义具体可以参考：https://platform.openai.com/docs/api-reference/chat/create\n",
    "\n",
    "**2. 使用 load_tools 方法加载工具 \"serpapi\"**\n",
    "\n",
    "**3. 传入工具和 LLM 对象，以及实例化一个基于 ReAct 的 Agent**\n",
    "   - verbose 参数为 True 则会打印全部的执行详情。\n",
    "\n",
    "   - agent 参数设置为 AgentType.ZERO_SHOT_REACT_DESCRIPTION。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "73051581-de41-4f2f-bb3f-2561ce207df3",
   "metadata": {},
   "outputs": [],
   "source": [
    "llm = ChatOpenAI(temperature=0.3, model_name=\"gpt-3.5-turbo-0125\", max_tokens=1024,\n",
    "                 openai_api_key=OPENAI_API_KEY,\n",
    "                 openai_api_base=BASE_URL, max_retries=3,\n",
    "                 seed=42, presence_penalty=0, frequency_penalty=0,\n",
    "                )\n",
    "\n",
    "tools = load_tools([\"serpapi\"])\n",
    "\n",
    "agent_ReAct = initialize_agent(tools, llm, verbose=True,\n",
    "                               agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION\n",
    "                              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4bfcc6f4-9afb-41f1-b738-3b8283204c1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Answer the following questions as best you can. You have access to the following tools:\n",
      "\n",
      "Search: A search engine. Useful for when you need to answer questions about current events. Input should be a search query.\n",
      "\n",
      "Use the following format:\n",
      "\n",
      "Question: the input question you must answer\n",
      "Thought: you should always think about what to do\n",
      "Action: the action to take, should be one of [Search]\n",
      "Action Input: the input to the action\n",
      "Observation: the result of the action\n",
      "... (this Thought/Action/Action Input/Observation can repeat N times)\n",
      "Thought: I now know the final answer\n",
      "Final Answer: the final answer to the original input question\n",
      "\n",
      "Begin!\n",
      "\n",
      "Question: {input}\n",
      "Thought:{agent_scratchpad}\n"
     ]
    }
   ],
   "source": [
    "# 查看所用到的提示模板\n",
    "print(agent_ReAct.agent.llm_chain.prompt.template)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4eca8cf1-f096-4811-b356-5578ea05f0b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 实例化 OpenAI 对象\n",
    "# 传入参数：OpenAI API Key（必需）、Base URL 和最大重试次数\n",
    "client = OpenAI(api_key=OPENAI_API_KEY, base_url=BASE_URL, max_retries=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6e8356b3-dd34-4985-932e-ad614fa83eae",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_completions(llm_prompt, model_endpoint):\n",
    "\n",
    "    response = client.chat.completions.create(model=model_endpoint,\n",
    "                                              messages=[\n",
    "                                                        {\"role\": \"user\", \"content\": llm_prompt}\n",
    "                                                       ],\n",
    "                                              n=1, temperature=0.20, seed=42,\n",
    "                                              presence_penalty=0, frequency_penalty=0,\n",
    "                                              max_tokens=1024\n",
    "                                             )\n",
    "\n",
    "    return response.choices[0].message.content.strip()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab28515c-3b7d-456b-a679-71686772e32f",
   "metadata": {},
   "source": [
    "没有使用 ReAct，直接 Prompting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ba5f5d72-db37-4e31-90db-96ffa8e0cfd5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "生成结果-中文：\n",
      "南瓜书的核心作者是 Datawhale 团队的成员，包括但不限于以下几位：\n",
      "\n",
      "1. 陈旸\n",
      "2. 陈煜\n",
      "3. 王鹏\n",
      "4. 王宇\n",
      "5. 杨冰楠\n",
      "6. 杨冰楠\n",
      "7. 张晋\n",
      "8. 张晋\n",
      "9. 张晋\n",
      "10. 张晋\n",
      "\n",
      "以上是南瓜书的核心作者之一。\n"
     ]
    }
   ],
   "source": [
    "prompt = \"你的任务是列出 Datawhale 的开源项目南瓜书的核心作者的姓名。\"\n",
    "\n",
    "result_no_ReAct = get_completions(prompt, \"gpt-3.5-turbo-0125\")\n",
    "print(f\"\\n生成结果-中文：\\n{result_no_ReAct}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d3c33d31-821c-4531-80aa-93209f098fb2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "生成结果-英文：\n",
      "The core authors of Datawhale's open source project Pumpkin Book are:\n",
      "\n",
      "1. Yifan Zhang\n",
      "2. Zhiwei Liu\n",
      "3. Yuxuan Zhang\n",
      "4. Yuxin Wu\n",
      "5. Yifan Li\n",
      "6. Yuxin Wu\n"
     ]
    }
   ],
   "source": [
    "prompt = \"Your task is to list the names of the core authors of Datawhale's open source project Pumpkin Book.\"\n",
    "\n",
    "result_no_ReAct = get_completions(prompt, \"gpt-3.5-turbo-0125\")\n",
    "print(f\"\\n生成结果-英文：\\n{result_no_ReAct}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fdb24552-410c-4da6-bc98-02d0cb8f8012",
   "metadata": {},
   "source": [
    "使用 ReAct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1484f80a-65a4-4f1e-ad9e-4b3de2136b6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m我需要搜索Datawhale南瓜书的开源项目来找到核心作者的姓名。\n",
      "Action: Search\n",
      "Action Input: Datawhale 南瓜书 开源项目\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['南瓜书的所有内容都是以西瓜书的内容为前置知识进行表述的，所以南瓜书的最佳使用方法是以西瓜书为主线，遇到自己推导不出来或者看不懂的公式时再来查阅南瓜书； · 对于初学 ...', '言归正传，南瓜书来源于西瓜书，由开源组织Datawhale 发起，团队成员谢文睿牵头，带领6位成员，历时1个月，将西瓜书中1-7章节的公式进行了整理，对西瓜书 ...', '... Datawhale南瓜书项目，希望再也没有难推的公式，深入理解机器学习。 2020年，Datawhale开源项目“南瓜书”发布，受到全网转发。3年后，“南瓜书”完整版第 ...', '好消息是，著名的开源组织Datawhale 开源了一个GitHub 仓库：“南瓜书(PumpkinBook)”，对《机器学习》（西瓜书）里比较难理解的公式加以解析，以及对部分 ...', '一年前，Datawhale开源项目南瓜书发布，受到全网转发，一年后，南瓜书完整版正式撒花完结。从基础公式解析到难点探讨，无论你数学功底如何，都可以在南瓜 ...', '《 南瓜书Pumpkin-Book》由开源组织Datawhale发起，团队成员谢文睿、秦州牵头，针对国内机器学习经典教材--周志华老师的《机器学习》，将教材中难以理解的 ...', '一年前，Datawhale开源项目南瓜书发布，受到全网转发，一年后，南瓜书完整版正式撒花完结。从基础公式解析到难点探讨，无论你数学功底如何，都可以在 ...', '言归正传，南瓜书来源于西瓜书，由 开源组织Datawhale 发起，团队成员谢文睿牵头，带领6位成员，历时1个月，将西瓜书中1-7章节的公式进行了整理，对西瓜书 ...', '人工智能领域中文的开山之作、周志华“西瓜书”《机器学习》伴侣书，Datawhale开源协作学习笔记“南瓜书”，机器学习初学小白提升数学基础能力的练习书！ 中级github开源教程.', '西瓜书代码实战项目以西瓜书以及南瓜书为主要参考，其他资料为辅助，来进行常见机器学习代码的实战。主要特色为力求数码结合，即数学公式与相关代码的形神 ...']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m我需要找到Datawhale南瓜书项目的GitHub仓库来查看核心作者的姓名。\n",
      "Action: Search\n",
      "Action Input: Datawhale 南瓜书 GitHub 仓库\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['若南瓜书里没有你想要查阅的公式，或者你发现南瓜书哪个地方有错误，请毫不犹豫地去我们GitHub的Issues（ 地址：https://github.com/datawhalechina/pumpkin-book ...', '有个非盈利的开源学习组织Datawhale开源了一个github仓库：“南瓜书(PumpkinBook)”，对《机器学习》（西瓜书）里比较难理解的公式加以解析，以及对部分公式 ...', '有个非盈利的开源学习组织Datawhale开源了一个github仓库：“南瓜书(PumpkinBook)”，对《机器学习》（西瓜书）里比较难理解的公式加以解析，以及对部分公式 ...', '有个非盈利的开源学习组织Datawhale开源了一个github仓库：“南瓜书(PumpkinBook)”，对《机器学习》（西瓜书）里比较难理解的公式加以解析，以及对部分公式补充具体的推导 ...', '有个非盈利的开源学习组织Datawhale开源了一个github仓库：“南瓜书(PumpkinBook)”，对《机器学习》（西瓜书）里比较难理解的公式加以解析，以及对部分公式 ...', '有个非盈利的开源学习组织Datawhale开源了一个github仓库：“南瓜书(PumpkinBook)”，对《机器学习》（西瓜书）里比较难理解的公式加以解析，以及对部分公式 ...', '有个非盈利的开源学习组织Datawhale开源了一个github仓库：“南瓜书(PumpkinBook)”，对《机器学习》（西瓜书）里比较难理解的公式加以解析，以及对部分公式 ...', '近日有个github仓库“南瓜书(PumpkinBook)”对西瓜书里比较难理解的公式加以解析，以及对部分公式补充具体的推导细节。 该仓库拥有者Datawhale是一个非盈利的开源学习 ...', '有个非盈利的开源学习组织Datawhale开源了一个github仓库：“南瓜书(PumpkinBook)”，对《机器学习》（西瓜书）里比较难理解的公式加以解析，以及对部分公式 ...', '搜索帮助. Git 命令在线学习 如何在Gitee 导入GitHub 仓库 · Git 仓库基础操作 · 企业版和社区版功能对比 · SSH 公钥设置 · 如何处理代码冲突 · 仓库体积过大，如何减小？']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m我需要查看Datawhale南瓜书项目的GitHub仓库中的贡献者信息来找到核心作者的姓名。\n",
      "Action: Search\n",
      "Action Input: Datawhale 南瓜书 GitHub 贡献者\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['... 书旨在对西瓜书里比较难理解的公式加以解析，以及对部分公式补充具体的推导细节 ... 南瓜书所做的贡献。 关注我们. 扫描下方二维码关注公众号：Datawhale，然后回复 ...', '主要贡献者（按首字母排名）. @awyd234 @feijuan @Ggmatch @Heitao5200 @huaqing89 @juxiao @jbb0523 @LongJH @LilRachel @LeoLRH @Majingmin @MrBigFan @Nono17 ...', '致谢. 感谢以下Datawhale成员对项目推进作出的贡献(排名不分先后)：. 贡献者名单 ... 居凤霞, Datawhale成员，数据分析师，南瓜书项目贡献者. 项目贡献情况. 《Fantastic ...', '言归正传，南瓜书来源于西瓜书，由开源组织Datawhale发起，团队成员谢文睿牵头，带领6位成员，历时1个月，将西瓜书中1-7章节的公式进行了整理， ...', '人工智能领域中文的开山之作、周志华“西瓜书”《机器学习》伴侣书，Datawhale开源协作学习笔记“南瓜书”，机器学习初学小白提升数学基础能力的练习书！ 中级github开源教程.', '... 贡献者，激发社区的活力。我们坚信，一个人可以走得很快，但是一群人才能走得更远~. 💥 最新动态： 【机器学习教程：pumpkin-book】：南瓜书更新发布1.4.0版本，下载 ...', '南瓜书是Datawhale组织成员以及读者们一起相互支持的结果，从开源到出版，带来的收入其实不高，但让开源贡献者被大众认可是促使开源良性循环的重要一环， ...', '开源贡献：Datawhale团队结合周志华老师的西瓜书，我们发布了第一个开源教程《PumpkinBook-南瓜书》，到现在我们已经开源了51份学习教程， ...', '言归正传，南瓜书来源于西瓜书，由开源组织Datawhale 发起，团队成员谢文睿牵头，带领6位成员，历时1个月，将西瓜书中1-7章节的公式进行了整理，对西瓜书 ...', '南瓜书仅仅是西瓜书的一些细微补充而已，里面的内容都是以西瓜书的内容为前置知识 ... 主要贡献者（按首字母排名）. @awyd234 @feijuan @Ggmatch @Heitao5200 @huaqing89 ...']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m我需要查看Datawhale南瓜书项目GitHub仓库中的主要贡献者信息来找到核心作者的姓名。\n",
      "Action: Search\n",
      "Action Input: Datawhale 南瓜书 GitHub 主要贡献者\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['文档采用 Markdown 语法编写，数学公式采用 LaTeX 语法编写，数学符号规范参见西瓜书目录前一页《主要符号表》。 ... 主要贡献者（按首字母排名）. @awyd234 @feijuan @ ...', '... GitHub的Issues（ 地址：https://github.com/datawhalechina/pumpkin-book/issues ... 南瓜书所做的贡献。 关注我们. 扫描下方二维码关注公众号：Datawhale，然后回复 ...', '主要贡献者（按首字母排名）. 关注我们; LICENSE. 南瓜书PumpkinBook. 周志华老师的《机器学习》（西瓜书）是机器学习领域的经典入门教材之一，周老师为了使尽可能多的读者 ...', '南瓜书仅仅是西瓜书的一些细微补充而已，里面的内容都是以西瓜书的内容为前置 ... 主要贡献者（按首字母排名）. @awyd234@feijuan@Ggmatch@Heitao5200 ...', '该仓库拥有者Datawhale是一个非盈利的开源学习组织，致力于构建一个纯粹的学习圈子，帮助学习者更好地成长。目前已经更新完15章（仅规则学习这里有少部分没完成），并 ...', '主要特色为力求数码结合，即数学公式与相关代码的形神对应，能够帮助读者加深对公式的理解以及代码的熟练。 目前已完成基于sklearn包的相关用法撰写，基于numpy包实现算法 ...', '... 贡献者的参与。 开源地址. https://github.com/datawhalechina/team-learning. 什么是组 ... 机器学习. 1 /吃瓜教程—西瓜书+南瓜书. 开源贡献：谢文睿、秦州、刘琳. 内容说明 ...', '言归正传，南瓜书来源于西瓜书，由开源组织Datawhale 发起，团队成员谢文睿牵头，带领6位成员，历时1个月，将西瓜书中1-7章节的公式进行了整理，对西瓜书 ...', '当初在学习周志华《机器学习》教材的过程中，遇到了公式推导的难题，苦于没有人答疑解惑，于是发起了Datawhale南瓜书开源项目，希望再也没有难推的公式， ...', '截止今日，Datawhale已经开源50多门学习内容，涉及编程、数据科学、cv、nlp、强化学习和推荐系统6大模块，这源自每一个开源贡献者的参与。']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m我需要查看Datawhale南瓜书项目GitHub仓库中的主要贡献者信息来找到核心作者的姓名。\n",
      "Action: Search\n",
      "Action Input: Datawhale 南瓜书 GitHub 主要贡献者\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['文档采用 Markdown 语法编写，数学公式采用 LaTeX 语法编写，数学符号规范参见西瓜书目录前一页《主要符号表》。 ... 主要贡献者（按首字母排名）. @awyd234 @feijuan @ ...', '... GitHub的Issues（ 地址：https://github.com/datawhalechina/pumpkin-book/issues ... 南瓜书所做的贡献。 关注我们. 扫描下方二维码关注公众号：Datawhale，然后回复 ...', '主要贡献者（按首字母排名）. 关注我们; LICENSE. 南瓜书PumpkinBook. 周志华老师的《机器学习》（西瓜书）是机器学习领域的经典入门教材之一，周老师为了使尽可能多的读者 ...', '南瓜书仅仅是西瓜书的一些细微补充而已，里面的内容都是以西瓜书的内容为前置 ... 主要贡献者（按首字母排名）. @awyd234@feijuan@Ggmatch@Heitao5200 ...', '该仓库拥有者Datawhale是一个非盈利的开源学习组织，致力于构建一个纯粹的学习圈子，帮助学习者更好地成长。目前已经更新完15章（仅规则学习这里有少部分没完成），并 ...', '主要特色为力求数码结合，即数学公式与相关代码的形神对应，能够帮助读者加深对公式的理解以及代码的熟练。 目前已完成基于sklearn包的相关用法撰写，基于numpy包实现算法 ...', '... 贡献者的参与。 开源地址. https://github.com/datawhalechina/team-learning. 什么是组 ... 机器学习. 1 /吃瓜教程—西瓜书+南瓜书. 开源贡献：谢文睿、秦州、刘琳. 内容说明 ...', '言归正传，南瓜书来源于西瓜书，由开源组织Datawhale 发起，团队成员谢文睿牵头，带领6位成员，历时1个月，将西瓜书中1-7章节的公式进行了整理，对西瓜书 ...', '当初在学习周志华《机器学习》教材的过程中，遇到了公式推导的难题，苦于没有人答疑解惑，于是发起了Datawhale南瓜书开源项目，希望再也没有难推的公式， ...', '截止今日，Datawhale已经开源50多门学习内容，涉及编程、数据科学、cv、nlp、强化学习和推荐系统6大模块，这源自每一个开源贡献者的参与。']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m我现在知道了Datawhale南瓜书项目的核心作者是谢文睿。 \n",
      "Final Answer: 谢文睿\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "生成结果-中文：\n",
      "谢文睿\n"
     ]
    }
   ],
   "source": [
    "# 使用 ReAct 来回答  中文\n",
    "question_Chinese = \"你的任务是列出 Datawhale 的开源项目南瓜书的核心作者的姓名。用中文输出结果。\"\n",
    "result_Chinese = agent_ReAct.run(question_Chinese)\n",
    "print(f\"\\n生成结果-中文：\\n{result_Chinese}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5f052353-b616-4a36-a8b3-062420d65f9d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mI need to find out who the core authors of Datawhale's Pumpkin Book are.\n",
      "Action: Search\n",
      "Action Input: \"Datawhale Pumpkin Book core authors\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['《机器学习》（西瓜书）公式详解. Contribute to datawhalechina/pumpkin-book development by creating an account on GitHub.', '项目简介《机器学习》（西瓜书）公式详解项目负责人@Sm1les 项目地址pumpkin-book.', 'A Mini-Book for Close Reading; Math Activities (See Preview); Graphic Organizers (See Preview); Vocabulary Cards (See Preview); Pumpkin Life Cycle Flip Book ( ...', \"From an acclaimed science author, here's everything about pumpkins--including how they grow! In this cheerfully-illustrated, simply-presented book, children ...\", 'The Pumpkin Book by Gail Gibbons. Fountas and Pinnell: M; Lexile: 570L. Buy at Amazon.com. Book Summary: How they grow, their traditional uses and cultural ...', 'Describes how pumpkins come in different shapes and sizes, how they grow, and their traditional uses and cultural significance.', \"The co-authors are father & son, Michael and Lennon. Michael is a late blooming children's book author who began writing stories in 2019 after being inspired ...\", '... book, along with a fascinating section on pumpkin facts and lore. Author. Gail Gibbons. Lessons Associated with this Resource. The Case of the Missing Pumpkin ...', \"This picture book is an adorable introduction to Halloween for pre-readers. Follow this pumpkin's journey, teaching little ones an important message along ...\"]\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mI need to find the specific names of the core authors mentioned in the search results.\n",
      "Action: Search\n",
      "Action Input: \"Datawhale Pumpkin Book core authors Michael Lennon\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['... Michael schwandt date of birth, Maialen sanchez irisarri, Hospital dom ... book for sale, Chicken vorta! 605 blue pill snort? Christenbury hall concord nc ...', 'All the movies we\\'re tracking. Updated daily by TelevisionStats.com. \"BLOW THE NIGHT!\" Let\\'s Spend the Night Together stats and data.$9.99 stats and data.', \"... Datawhale · 阿里云技术博客 · Ray Wenderlich · social media · Gizmodo · PANews · CSDN博客 ... Michael Altfield's Tech Blog · 派大星的键盘 · Gohper · thisDaveJ · 斡 ...\"]\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe search results did not provide the specific names of the core authors of Datawhale's Pumpkin Book.\n",
      "Action: Search\n",
      "Action Input: \"Datawhale Pumpkin Book core authors\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['《机器学习》（西瓜书）公式详解. Contribute to datawhalechina/pumpkin-book development by creating an account on GitHub.', '项目简介《机器学习》（西瓜书）公式详解项目负责人@Sm1les 项目地址pumpkin-book.', 'A Mini-Book for Close Reading; Math Activities (See Preview); Graphic Organizers (See Preview); Vocabulary Cards (See Preview); Pumpkin Life Cycle Flip Book ( ...', \"From an acclaimed science author, here's everything about pumpkins--including how they grow! In this cheerfully-illustrated, simply-presented book, children ...\", 'The Pumpkin Book by Gail Gibbons. Fountas and Pinnell: M; Lexile: 570L. Buy at Amazon.com. Book Summary: How they grow, their traditional uses and cultural ...', 'Describes how pumpkins come in different shapes and sizes, how they grow, and their traditional uses and cultural significance.', \"The co-authors are father & son, Michael and Lennon. Michael is a late blooming children's book author who began writing stories in 2019 after being inspired ...\", '... book, along with a fascinating section on pumpkin facts and lore. Author. Gail Gibbons. Lessons Associated with this Resource. The Case of the Missing Pumpkin ...', \"This picture book is an adorable introduction to Halloween for pre-readers. Follow this pumpkin's journey, teaching little ones an important message along ...\"]\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mI need to carefully read through the search results to identify the core authors of Datawhale's Pumpkin Book.\n",
      "Action: Search\n",
      "Action Input: \"Datawhale Pumpkin Book core authors\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['《机器学习》（西瓜书）公式详解. Contribute to datawhalechina/pumpkin-book development by creating an account on GitHub.', '项目简介《机器学习》（西瓜书）公式详解项目负责人@Sm1les 项目地址pumpkin-book.', 'A Mini-Book for Close Reading; Math Activities (See Preview); Graphic Organizers (See Preview); Vocabulary Cards (See Preview); Pumpkin Life Cycle Flip Book ( ...', \"From an acclaimed science author, here's everything about pumpkins--including how they grow! In this cheerfully-illustrated, simply-presented book, children ...\", 'The Pumpkin Book by Gail Gibbons. Fountas and Pinnell: M; Lexile: 570L. Buy at Amazon.com. Book Summary: How they grow, their traditional uses and cultural ...', 'Describes how pumpkins come in different shapes and sizes, how they grow, and their traditional uses and cultural significance.', \"The co-authors are father & son, Michael and Lennon. Michael is a late blooming children's book author who began writing stories in 2019 after being inspired ...\", '... book, along with a fascinating section on pumpkin facts and lore. Author. Gail Gibbons. Lessons Associated with this Resource. The Case of the Missing Pumpkin ...', \"This picture book is an adorable introduction to Halloween for pre-readers. Follow this pumpkin's journey, teaching little ones an important message along ...\"]\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mI now know the final answer\n",
      "Final Answer: The core authors of Datawhale's open source project Pumpkin Book are Michael and Lennon.\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "生成结果-英文：\n",
      "The core authors of Datawhale's open source project Pumpkin Book are Michael and Lennon.\n"
     ]
    }
   ],
   "source": [
    "# 使用 ReAct 来回答  英文\n",
    "question_English = \"Your task is to list the names of the core authors of Datawhale's open source project Pumpkin Book.\"\n",
    "result_English = agent_ReAct.run(question_English)\n",
    "print(f\"\\n生成结果-英文：\\n{result_English}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60bb608f-e412-4227-be60-44580b85b26b",
   "metadata": {},
   "source": [
    "分析实验结果：\n",
    "- 传统的提示方法主要依靠 LLM 自身的参数化知识。然而，在上述实验中，无论是在中文还是英文输入提示的情况下，gpt-3.5-turbo-0125 都不能准确回答问题。事实上，Datawhale 开源项目《南瓜书》的核心作者是 \"谢文睿\"，尽管 LLM 输出了内容，但存在幻觉问题。\n",
    "\n",
    "- 相比之下，ReAct 强调了 LLM 与外部工具之间的协作（例如上述实验中使用了搜索），从而实现更精确、具有情境化的响应。当输入中文提示时，gpt-3.5-turbo-0125 给出了准确的答案：\"谢文睿\"；然而当输入英文提示时，生成结果是：\"The core authors of Datawhale's open source project Pumpkin Book are Michael and Lennon.\"，产生了幻觉。这可能是由于中文/英文关键词检索结果质量问题导致的，在中文场景下，《南瓜书》的信息更为丰富。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b192f05-d5ae-4860-b636-c2fad51a6c39",
   "metadata": {},
   "source": [
    "实验 2：连接搜索引擎和数学计算工具，对比使用和不用 ReAct 的生成结果。\n",
    "\n",
    "给定任务 2：\"强化学习教程（蘑菇书）现在的价格是多少？如果我在此基础上降价 15% 卖出，应该如何定价？用中文输出结果。\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fc0f127b-b3c3-413c-a196-3f72b6d0a43d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 使用 load_tools 方法加载工具 \"serpapi\" 和 \"llm-math\"\n",
    "tools = load_tools([\"serpapi\", \"llm-math\"], llm=llm)\n",
    "\n",
    "agent_ReAct = initialize_agent(tools, llm, verbose=True,\n",
    "                               agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION\n",
    "                              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ccc45970-4e6f-4e79-94e3-53213b40d1af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Answer the following questions as best you can. You have access to the following tools:\n",
      "\n",
      "Search: A search engine. Useful for when you need to answer questions about current events. Input should be a search query.\n",
      "Calculator: Useful for when you need to answer questions about math.\n",
      "\n",
      "Use the following format:\n",
      "\n",
      "Question: the input question you must answer\n",
      "Thought: you should always think about what to do\n",
      "Action: the action to take, should be one of [Search, Calculator]\n",
      "Action Input: the input to the action\n",
      "Observation: the result of the action\n",
      "... (this Thought/Action/Action Input/Observation can repeat N times)\n",
      "Thought: I now know the final answer\n",
      "Final Answer: the final answer to the original input question\n",
      "\n",
      "Begin!\n",
      "\n",
      "Question: {input}\n",
      "Thought:{agent_scratchpad}\n"
     ]
    }
   ],
   "source": [
    "# 查看所用到的提示模板\n",
    "print(agent_ReAct.agent.llm_chain.prompt.template)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "459781da-cc70-4be9-8443-b7a8785fe15a",
   "metadata": {},
   "source": [
    "没有使用 ReAct，直接 Prompting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f1d6792f-cade-44dc-85a6-808552ffac34",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "生成结果-中文：\n",
      "强化学习教程（蘑菇书）现在的价格是 100 元。如果你在此基础上降价 15%，应该定价为 85 元。\n"
     ]
    }
   ],
   "source": [
    "prompt = \"强化学习教程（蘑菇书）现在的价格是多少？如果我在此基础上降价 15% 卖出，应该如何定价？用中文输出结果。\"\n",
    "\n",
    "result_no_ReAct = get_completions(prompt, \"gpt-3.5-turbo-0125\")\n",
    "print(f\"\\n生成结果-中文：\\n{result_no_ReAct}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "893b17a8-8a56-48a2-893e-ad50e4f915d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "生成结果-英文：\n",
      "The current price of the Reinforcement Learning Tutorial (The Mushroom Book) is $50. \n",
      "\n",
      "If you sell it with a 15% price reduction on top of that, the new price would be calculated as follows:\n",
      "\n",
      "Price reduction = 15% of $50 = 0.15 x 50 = $7.50\n",
      "\n",
      "New price = $50 - $7.50 = $42.50\n",
      "\n",
      "Therefore, if you sell the book with a 15% price reduction, the new price would be $42.50.\n"
     ]
    }
   ],
   "source": [
    "prompt = \"What is the current price of the Reinforcement Learning Tutorial (The Mushroom Book)? How should I price it if I sell it with a 15% price reduction on top of that?\"\n",
    "\n",
    "result_no_ReAct = get_completions(prompt, \"gpt-3.5-turbo-0125\")\n",
    "print(f\"\\n生成结果-英文：\\n{result_no_ReAct}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e210431c-995b-43a4-84cd-524cdfba3c02",
   "metadata": {},
   "source": [
    "使用 ReAct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "205ccacb-ddd6-4243-84b1-f1357482c2e9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m我需要使用搜索引擎来查找“强化学习教程（蘑菇书）价格”。\n",
      "Action: Search\n",
      "Action Input: \"强化学习教程（蘑菇书）价格\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['蘑菇书正版Easy RL 强化学习教程蘑菇书深度学习机器. ¥66.90. 约SGD $12.66. 价格可能因优惠活动发生变化. 优惠. 该商品提供多种优惠. 淘宝网现提供跨境集运、跨境直送 ...', 'Easy RL 强化学习教程蘑菇书深度强化学习落地指南机器学习人工智能导论神经网络与深度学习编程入门电脑书籍人民邮电出版社. ¥46.17. 约SGD $8.74. 价格可能因优惠活动 ...', '京东是国内专业的强化学习网上购物商城，本频道提供强化学习价格表，强化学习报价行情、强化学习多少钱等信息，为您选购强化学习提供全方位的价格参考，提供愉悦的网上 ...', '京东是国内专业的强化学习网上购物商城，本频道提供强化学习价格表，强化学习报价行情、强化学习多少钱等信息，为您选购强化学习提供全方位的价格参考，提供愉悦的网上 ...', '此外，为了教程的完整性，我们整理了周博磊老师的《强化学习纲要》、李科浇老师的《世界冠军带你从零实践强化学习》以及多个强化学习的经典资料作为补充。对于想入门强化 ...', 'Easy RL 强化学习教程蘑菇书深度学习机器学习书籍神经网络机器学习实战西瓜书南瓜书李宏毅周博磊李科浇开源教程书籍 ; 20.80. 成交2408笔 ; 13.93. 成交127笔 ; 7.59. 成交2笔.', '优惠时效有限，需要的朋友抓紧购买吧！ 《Easy RL 强化学习教程(easyrl蘑菇书)(异步图书 ... 价格砍掉近一半，从500 万压到300 万！我把小梁叫来，当着他的 ...', '本书结合了李宏毅老师的“深度强化学习”、周博磊老师的“强化学习纲要”、李科浇老师的“世界冠军带你从零实践强化学习”公开课的精华内容，在理论严谨的基础上深入浅出地介绍 ...', '蘑菇书《Easy RL》介绍了强化学习的基础知识和Markov决策过程，以及Q网络的一些特性和优化方法。文章还讨论了延迟的策略更新和目标策略平滑等内容。']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m我需要计算降价15%后的价格。\n",
      "Action: Calculator\n",
      "Action Input: 66.90 * 0.85\u001b[0m\n",
      "Observation: \u001b[33;1m\u001b[1;3mAnswer: 56.865\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m我现在知道了降价15%后的价格是56.865。\n",
      "Final Answer: 56.865\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "生成结果-中文：\n",
      "56.865\n"
     ]
    }
   ],
   "source": [
    "# 使用 ReAct 的生成结果  中文\n",
    "question_Chinese = \"强化学习教程（蘑菇书）现在的价格是多少？如果我在此基础上降价 15% 卖出，应该如何定价？用中文输出结果。\"\n",
    "result_Chinese = agent_ReAct.run(question_Chinese)\n",
    "\n",
    "print(f\"\\n生成结果-中文：\\n{result_Chinese}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f2f05895-a09e-434a-a70e-19767601ba22",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mI need to search for the current price of the Reinforcement Learning Tutorial and then calculate the price with a 15% reduction.\n",
      "Action: Search\n",
      "Action Input: \"Reinforcement Learning Tutorial The Mushroom Book price DataWhale\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['MushroomRL is a Reinforcement Learning (RL) library that aims to be a simple, yet powerful way to make RL and deep RL experiments.', 'It allows to perform RL experiments in a simple way providing classical RL algorithms (e.g. Q-Learning, SARSA, FQI), and deep RL algorithms (e.g. DQN, DDPG, SAC ...', 'Natural language is an intuitive and expressive way to communicate reward information to au- tonomous agents. It encompasses everything.', 'MushroomRL is a Reinforcement Learning (RL) library developed to be a simple, yet powerful way to make RL and deep RL experiments. The idea behind ...', 'MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) ...', 'Most machine learning involves transforming the data in some sense. ... if we have demographic data about house prices, pollution, crime, location ...', '... data synthesis to generate routine RESP for sustainable management of the planet. Monitoring the human responses while learning-by-doing will require.']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe search results did not provide the current price of the Reinforcement Learning Tutorial. I will need to search again with a different query.\n",
      "Action: Search\n",
      "Action Input: \"Reinforcement Learning Tutorial The Mushroom Book price DataWhale current price\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['Q-Learning algorithm can be used by anyone to potentially gain income without worrying about market price or risks involved. The algorithm ...', 'It allows to perform RL experiments in a simple way providing classical RL algorithms (e.g. Q-Learning, SARSA, FQI), and deep RL algorithms (e.g. DQN, DDPG, SAC ...', 'Most machine learning involves transforming the data in some sense. ... portion of the update depends only on the current value of each parameter, ...', 'MushroomRL is a Reinforcement Learning (RL) library developed to be a simple, yet powerful way to make RL and deep RL experiments. The idea behind ...', 'Thus, the validation of the current and future. Ocean Color satellite data is important for characterizing the optical environment connected with coastal ...']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe search results still did not provide the current price. I will need to try a different approach.\n",
      "Action: Search\n",
      "Action Input: \"Reinforcement Learning Tutorial The Mushroom Book price DataWhale purchase\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['The List Price is the suggested retail price of a new product as provided by a manufacturer, supplier, or seller. Except for books, Amazon will display a List ...', 'With this model, we can make further predictions like given data on housing prices, what will the cost of a house with a given set of features ...', 'It allows to perform RL experiments in a simple way providing classical RL algorithms (e.g. Q-Learning, SARSA, FQI), and deep RL algorithms (e.g. DQN, DDPG, SAC ...', 'Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from ...', 'MushroomRL is a Reinforcement Learning (RL) library developed to be a simple, yet powerful way to make RL and deep RL experiments. The idea behind ...', 'Most machine learning involves transforming the data in some sense. ... Deep learning books recommended by Amazon. these problems—about how to ...', 'MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) ...', 'The Extended Abstracts of the poster presentations delivered at the 4th “Oceans from. Space” Symposium – held in Venice, Italy, on 26-30 April 2010 ...']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe search results are not providing the specific price of the Reinforcement Learning Tutorial. I will need to try a different approach.\n",
      "Action: Search\n",
      "Action Input: \"Reinforcement Learning Tutorial The Mushroom Book price DataWhale buy\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['The List Price is the suggested retail price of a new product as provided by a manufacturer, supplier, or seller. Except for books, Amazon will display a List ...', 'Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from ...', 'It allows to perform RL experiments in a simple way providing classical RL algorithms (e.g. Q-Learning, SARSA, FQI), and deep RL algorithms (e.g. DQN, DDPG, SAC ...', 'Most machine learning involves transforming the data in some sense. ... Deep learning books recommended by Amazon. these problems—about how to ...', 'MushroomRL is a Reinforcement Learning (RL) library developed to be a simple, yet powerful way to make RL and deep RL experiments. The idea behind ...', 'MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) ...', 'This book is the single most comprehensive guide to the original digi-battle card game. It includes scans of both all the American cards up to date, many', 'com/datawhalechina/team-learning) | Datawhale组队学习计划与课程内容| 183 | Jupyter ... Reinforcement-Learning-Book](https://github.com/YutaroOgawa/Deep ...']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe search results are not providing the specific price of the Reinforcement Learning Tutorial. I will need to try a different approach.\n",
      "Action: Search\n",
      "Action Input: \"Reinforcement Learning Tutorial The Mushroom Book price DataWhale cost\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['MushroomRL is a Reinforcement Learning (RL) library that aims to be a simple, yet powerful way to make RL and deep RL experiments.', 'Natural language is an intuitive and expressive way to communicate reward information to au- tonomous agents. It encompasses everything.', 'It allows to perform RL experiments in a simple way providing classical RL algorithms (e.g. Q-Learning, SARSA, FQI), and deep RL algorithms (e.g. DQN, DDPG, SAC ...', 'MushroomRL is a Reinforcement Learning (RL) library developed to be a simple, yet powerful way to make RL and deep RL experiments. The idea behind ...', 'Machine learning is all about extracting information from data. So you might wonder, what could we possibly learn from synthetic data? While ...', '... data free of charge, the NASA MODIS optical sensor shows interesting potential as a cost-effective tool for oil spill monitoring in the marine environment ...']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe search results are still not providing the specific price of the Reinforcement Learning Tutorial. I will need to try a different approach.\n",
      "Action: Search\n",
      "Action Input: \"Reinforcement Learning Tutorial The Mushroom Book price DataWhale\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['MushroomRL is a Reinforcement Learning (RL) library that aims to be a simple, yet powerful way to make RL and deep RL experiments.', 'It allows to perform RL experiments in a simple way providing classical RL algorithms (e.g. Q-Learning, SARSA, FQI), and deep RL algorithms (e.g. DQN, DDPG, SAC ...', 'Natural language is an intuitive and expressive way to communicate reward information to au- tonomous agents. It encompasses everything.', 'MushroomRL is a Reinforcement Learning (RL) library developed to be a simple, yet powerful way to make RL and deep RL experiments. The idea behind ...', 'MushroomRL is an open-source Python library developed to simplify the process of implementing and running Reinforcement Learning (RL) ...', 'Most machine learning involves transforming the data in some sense. ... if we have demographic data about house prices, pollution, crime, location ...', '... data synthesis to generate routine RESP for sustainable management of the planet. Monitoring the human responses while learning-by-doing will require.']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe search results are not providing the specific price of the Reinforcement Learning Tutorial. I will need to try a different approach.\n",
      "Action: Search\n",
      "Action Input: \"Reinforcement Learning Tutorial The Mushroom Book price DataWhale Amazon\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m['Digital List Price: $45.99$45.99. Available instantly. Foundations of Deep Reinforcement Learning: Theory and Practice in Python (Addison-Wesley Data.', \"A Beginner's Guide To Microdosing and Growing Psilocybin Mushrooms At Home: An Easy 9-Step Method for Growing Indoor Medicinal Mushrooms in as Little as 4 Weeks.\", 'Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from ...', 'The List Price is the suggested retail price of a new product as provided by a manufacturer, supplier, or seller. Except for books, Amazon will display a List ...', 'Mushroom Hunter Log Book: Mushroom Identification Record Book - Guide to Identify and Track Mushrooms for Beginners and Experienced - 100 Pages to fill in ...', 'Experts are worried that books produced by ChatGPT for sale on Amazon, which target beginner foragers, could end up killing someone.', 'Most machine learning involves transforming the data in some sense. ... Deep learning books recommended by Amazon. these problems—about how ...', 'This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest ...', 'The New York Mycological Society recently posted a warning about Amazon and other retailers offering mushroom foraging and identification books ...', \"This book provides a deep dive into RL's core concepts, mathematics, and practical algorithms, helping you to develop a thorough understanding of this cutting- ...\"]\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe search results show that the Digital List Price of the Reinforcement Learning Tutorial (The Mushroom Book, By DataWhale) is $45.99. To calculate the price with a 15% reduction, I will need to use a calculator.\n",
      "Action: Calculator\n",
      "Action Input: $45.99 * 0.15\u001b[0m\n",
      "Observation: \u001b[33;1m\u001b[1;3mAnswer: 6.8985\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mThe price with a 15% reduction is $6.90.\n",
      "Final Answer: The current price of the Reinforcement Learning Tutorial (The Mushroom Book, By DataWhale) is $45.99, and it should be priced at $6.90 if sold with a 15% reduction.\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "生成结果-英文：\n",
      "The current price of the Reinforcement Learning Tutorial (The Mushroom Book, By DataWhale) is $45.99, and it should be priced at $6.90 if sold with a 15% reduction.\n"
     ]
    }
   ],
   "source": [
    "# 使用 ReAct 的生成结果  英文\n",
    "question_English = \"What is the current price of the Reinforcement Learning Tutorial (The Mushroom Book, By DataWhale)? How should I price it if I sell it with a 15% price reduction on top of that?\"\n",
    "result_English = agent_ReAct.run(question_English)\n",
    "\n",
    "print(f\"\\n生成结果-英文：\\n{result_English}\")"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "6272b8f9-f6ae-446d-bb49-f8f378c0c9e5",
   "metadata": {},
   "source": [
    "需要指出的是，ReAct 并不是完美的，有时多次检索和计算可能会导致报错。在我进行调试的过程中，就遇到了以下的报错：\n",
    "\n",
    "![ReAct 报错.png](attachment:567077c5-bcd8-484e-893f-d5d4e1257ad7.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f54d080-bd01-4f28-a7c3-355aab15f658",
   "metadata": {},
   "source": [
    "分析实验结果：\n",
    "- 针对给定的问题：\"强化学习教程（蘑菇书）现在的价格是多少？如果我在此基础上降价 15% 卖出，应该如何定价？\"。推理思路应为：首先需要确定这本书的具体价格，然后才能准确地计算出基于此降价 15% 的价格。\n",
    "\n",
    "- 在没有使用 ReAct，直接 Prompting 的情况下，无论输入提示是中文还是英文，gpt-3.5-turbo-0125 都无法准确回答问题。\n",
    "\n",
    "- 当使用 ReAct 并输入中文提示时，gpt-3.5-turbo-0125 能够给出准确的答案：“我现在知道了强化学习教程（蘑菇书）的价格是 66.90 元，降价 15% 后的定价应为 56.865 元。”\n",
    "\n",
    "- 当使用 ReAct 并输入英文提示时，gpt-3.5-turbo-0125 无法给出准确的答案，其生成的结果为：“The current price of the Reinforcement Learning Tutorial (The Mushroom Book, By DataWhale) is 45.99 dollar, and it should be priced at 6.90 dollar if sold with a 15% reduction.” （备注：\"$\" 符号在 MarkDown 中渲染存在冲突，所以使用 dollar 替代）\n",
    "\n",
    "- 在输入中文提示时，给出的答案都是准确的。分析表明，在实际应用中，如果是中文环境，参考 ReAct 的源代码并根据特定需求定制中文的 Prompt 模板和演示是有价值的。\n",
    "\n",
    "- 通过观察 ReAct 的执行过程，我们发现它以交错的方式生成推理轨迹和任务特定操作，这增强了 LLM 的可解释性。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34878855-d610-457d-92eb-9e8b9f6a7d89",
   "metadata": {},
   "source": [
    "前面的实验结果表明，在某些情况下，使用英文 Prompt 的效果并不理想。因此，我们再补充一个示例，让 LLM 回答：今天的日期是什么？列出历史上在这一天发生的重大事件。（请注意：我进行测试的日期是北京时间 **2024 年 3 月 1 日**）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b10bb900-92c6-4300-b790-34abe35cdad4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "生成结果-中文：\n",
      "今天的日期是2021年11月29日。\n",
      "\n",
      "历史上在11月29日发生的重大事件有：\n",
      "1. 1890年11月29日，美国印第安人领袖坐骑牛被美军杀害。\n",
      "2. 1947年11月29日，联合国大会通过了一项决议，将巴勒斯坦划分为犹太人国家和阿拉伯国家。\n",
      "3. 1963年11月29日，美国总统肯尼迪遇刺身亡。\n",
      "4. 2009年11月29日，泰国发生了严重的抗议活动，导致多人死亡和受伤。\n"
     ]
    }
   ],
   "source": [
    "prompt = \"今天的日期是什么？列出历史上在这一天发生的重大事件。请用中文回答。\"\n",
    "\n",
    "result_no_ReAct = get_completions(prompt, \"gpt-3.5-turbo-0125\")\n",
    "print(f\"\\n生成结果-中文：\\n{result_no_ReAct}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "a4b20ef9-8ca3-485c-920d-7d5b8528fd2e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "生成结果-英文：\n",
      "Today is October 26th.\n",
      "\n",
      "Some great events that have occurred on this day in history include:\n",
      "\n",
      "1. 1881 - The Gunfight at the O.K. Corral takes place in Tombstone, Arizona.\n",
      "2. 1905 - Sweden agrees to the independence of Norway.\n",
      "3. 1947 - The Maharaja of Kashmir agrees to join India.\n",
      "4. 1977 - The last natural case of smallpox is reported in Somalia.\n",
      "5. 2001 - The United States passes the USA PATRIOT Act in response to the September 11th terrorist attacks.\n"
     ]
    }
   ],
   "source": [
    "prompt = \"What's the date today? List the great events that have occurred on this day in history.\"\n",
    "\n",
    "result_no_ReAct = get_completions(prompt, \"gpt-3.5-turbo-0125\")\n",
    "print(f\"\\n生成结果-英文：\\n{result_no_ReAct}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "63eb744d-d37c-466f-8f6b-b1347a74ca0f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m我需要查一下今天的日期，然后搜索历史上的重大事件。\n",
      "Action: Search\n",
      "Action Input: 今天日期\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mFriday, March 1, 2024\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m现在我需要搜索一下历史上在3月1日发生的重大事件。\n",
      "Action: Search\n",
      "Action Input: March 1 historical events\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mArticles of Confederation\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m现在我知道了今天的日期和历史上在3月1日发生的重大事件。\n",
      "Final Answer: 今天是2024年3月1日，历史上在这一天发生了美国《联邦条例》的签署。\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "生成结果-中文：\n",
      "今天是2024年3月1日，历史上在这一天发生了美国《联邦条例》的签署。\n"
     ]
    }
   ],
   "source": [
    "# 使用 ReAct 的生成结果  中文\n",
    "question_Chinese = \"今天的日期是什么？列出历史上在这一天发生的重大事件。请用中文回答。\"\n",
    "result_Chinese = agent_ReAct.run(question_Chinese)\n",
    "\n",
    "print(f\"\\n生成结果-中文：\\n{result_Chinese}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d80d6ed3-3d86-4b6f-84f9-f4b363589fc7",
   "metadata": {},
   "source": [
    "《邦联条款与永久联盟》是美国 13 个州之间的协议，这些州曾经是美国的十三个殖民地，它们被视为国家的第一个政府框架。它在 1776 年 7 月至 1777 年 11 月间在费城的独立厅由第二次大陆会议进行了讨论，最终由大陆会议于 1777 年 11 月 15 日拟定。在经过所有 13 个殖民地州的批准后，于 1781 年 3 月 1 日生效。\n",
    "\n",
    "维基百科 Articles of Confederation：https://en.wikipedia.org/wiki/Articles_of_Confederation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3a4e0624-4ff4-4102-bdb3-5c4723fbd386",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3mI need to find out today's date and historical events that happened on this day.\n",
      "Action: Search\n",
      "Action Input: \"current date\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mFriday, March 1, 2024\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mNow I need to search for historical events that happened on March 1st.\n",
      "Action: Search\n",
      "Action Input: \"historical events on March 1\"\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3m[\"Historical Events on March 1 · Sons of Emperors Made Caesar · 1st New Testament in Greek Published · Drake's Richest Plunder · Henry IV Excommunication Threat.\", '1968. Daniel Craig. English actor ; 1942. Lou Reed. American musician ; 1931. Mikhail Gorbachev. president of Soviet Union ; 1930. Tom Wolfe. American author ; 1904.', 'On this day - March 1 ; 1998 Titanic becomes the first film to gross $1 billion ; 1995 Internet giant Yahoo! is incorporated ; 1947 The International Monetary Fund ...', \"Discover what happened on March 1 with HISTORY's summaries of major events, anniversaries, famous births and notable deaths.\", '509 BC – Publius Valerius Publicola celebrates the first triumph of the Roman Republic after his victory over the deposed king Lucius Tarquinius Superbus at the ...', '1954 – 4 Puerto Ricans open fire in the US House of Representatives injuring 5 members. 1962 – American Airlines 707 plunges nose first into Jamaica Bay, ...', 'Major Events · 1642 Georgeana (York) in Maine becomes the 1st incorporated American city · 1780 Pennsylvania becomes 1st US state to abolish slavery (for newborns ...', \"March 1 significant news events for this day include Charles Lindbergh's Baby is Kidnapped, Hoover Dam is Completed, First FM Radio Station Opens, ...\", \"Did you know that March 1 is known as Barista Day? Here you'll find interesting facts about Mar 1 as well as historical events that happened on this day.\", 'The event started the First War of Religion. 1692 - In Salem Village, in the Massachusetts Bay Colony, the Salem witch trials began. Four women were the first ...']\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3mI now know today's date and the historical events that happened on March 1st.\n",
      "Final Answer: Today is Friday, March 1, 2024. Some historical events that occurred on March 1 include the publication of the 1st New Testament in Greek, Titanic becoming the first film to gross $1 billion, and the Salem witch trials beginning in 1692.\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "生成结果-英文：\n",
      "Today is Friday, March 1, 2024. Some historical events that occurred on March 1 include the publication of the 1st New Testament in Greek, Titanic becoming the first film to gross $1 billion, and the Salem witch trials beginning in 1692.\n"
     ]
    }
   ],
   "source": [
    "# 使用 ReAct 的生成结果  英文\n",
    "question_English = \"What's the date today? List the great events that have occurred on this day in history.\"\n",
    "result_English = agent_ReAct.run(question_English)\n",
    "\n",
    "print(f\"\\n生成结果-英文：\\n{result_English}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92544e14-64f5-4787-9162-e32e5119f696",
   "metadata": {},
   "source": [
    "在这个示例中，直接提示 GPT-3.5 Turbo 问答：今天的日期是什么？列出历史上在这一天发生的重大事件。结果是：模型一本正经地胡说八道。\n",
    "\n",
    "GPT-3.5 Turbo 可以通过 ReAct 准确地回答这个问题。我们通过访问这个网站 https://www.onthisday.com/events/march/1 和使用搜索引擎进行事实检查。结果显示，使用英文 Prompt 的效果比使用中文 Prompt 更好。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae89450c-a90e-4517-8be2-321d2e342cb8",
   "metadata": {
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   "source": [
    "## 四、总结与讨论\n",
    "***\n",
    "\n",
    "你知道我们玩乐高积木时，我们会想一想，然后拿一个积木，再想一想，再拿一个积木，直到我们建造出我们想要的东西，对吧？这就是我们思考和行动交替进行的过程。ReAct 就像一个聪明的机器人，它也会这样做。它会想一想，然后做一些事情，再想一想，再做一些事情，直到它完成了它的任务。这就是为什么我们说 ReAct 通过交替使用语言推理和可执行计划，模仿了人类解决问题的思维方式。\n",
    "\n",
    "在这个过程中，大语言模型（LLM）就像机器人的大脑，它可以控制机器人的 “手” 和 “脚”，让机器人知道下一步应该做什么。ReAct 的优点是它很灵活，就像我们可以用乐高积木建造各种各样的东西一样。它也很容易使用，就像我们很容易地拿起和放下乐高积木一样。而且，它可以从很少的例子中学习，就像我们可以从几个乐高积木中学习如何建造一个房子一样。最后，它的行为是可以解释的，就像我们可以解释我们是如何用乐高积木建造房子的一样。\n",
    "\n",
    "此外，**ReAct 也是一种优秀的微调格式**。我们可以利用推理轨迹和正确的结果数据来构建中间过程的数据集，这是一种有效的降低标注成本的方法，可以通过这种方法以较低的成本构建高质量的 Fine-tuning 数据集。研究者已经观察到，当模型大小约为 60B 时，Fine-tuning 带来的性能提升远超过 Prompt 方法，这表明 ReAct 结合 Fine-tuning 可能是提高 LLM 性能的有效方式。\n",
    "\n",
    "最后，值得一提的是，**ReAct 可以被视为当前人工智能领域中热门的 Agent 研究的开创性工作**。ReAct 提出了一种基于 LLM 的 Agent 范式，并在问答和决策任务上取得了良好的结果，但其性能受到 LLM 能力的限制。对于具有大动作空间的复杂任务，需要更多的演示才能进行有效的学习。然而，这很容易超出 LLM 的上下文学习的输入长度限制。\n",
    "\n",
    "参考资料：\n",
    "- ICLR 2023 - ReAct: Synergizing Reasoning and Acting in Language Models，https://openreview.net/forum?id=WE_vluYUL-X\n",
    "\n",
    "- Lilian Weng - LLM Powered Autonomous Agents，https://lilianweng.github.io/posts/2023-06-23-agent/\n"
   ]
  }
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